single cell trajectory inference framework based on Entropic Gaussian mixture Optimal Transport
Project description
scEGOT
single cell trajectory inference framework based on Entropic Gaussian mixture Optimal Transport
Installation
$ pip install scegot
Requirements
-
Python3
-
GraphViz
Click here to learn how to install GraphViz (official documentation).
Documentation
The tutorial is available here.
Preprint
Please see the following paper: T. Yachimura et al. scEGOT: Single-cell trajectory inference framework based on entropic Gaussian mixture optimal transport. bioRxiv
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
scegot-0.2.2.tar.gz
(17.7 kB
view details)
Built Distribution
scegot-0.2.2-py3-none-any.whl
(17.5 kB
view details)
File details
Details for the file scegot-0.2.2.tar.gz.
File metadata
- Download URL: scegot-0.2.2.tar.gz
- Upload date:
- Size: 17.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.7.1 CPython/3.12.7 Darwin/24.1.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 7518ca1e1d869dffb929f60143816ef39d1a7e36e96444326e593d9fe43afbaa |
|
| MD5 | d4f96b670ce74f57d05cb1f319877201 |
|
| BLAKE2b-256 | cf695d4cf8e68423abcae16b77748998951d5946cda659a77c7faa2fbde53d1d |
File details
Details for the file scegot-0.2.2-py3-none-any.whl.
File metadata
- Download URL: scegot-0.2.2-py3-none-any.whl
- Upload date:
- Size: 17.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.7.1 CPython/3.12.7 Darwin/24.1.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 08dad51ce5b0c4283d4d0c1badd65b7cea37eb7802006bcbe5965cdcc3dbc10b |
|
| MD5 | 74b96ddaa296082efb4d90b32ef2e180 |
|
| BLAKE2b-256 | 6bbe02b08610cdfa5446728c2a845b749069666bb8cbf3a849c1f887ac83b34a |
